DataEngineerI

AWS Worldwide Field Enablement (WWFE) is looking for a Data Engineer helping us evolving our data infrastructure to next phase of providing insights through AI based solutions. You'll create data solutions that will optimize existing workflows providing better insights. You will have access to entire AWS AI stack to create next generation data solutions for AI based productivity tools and automation. AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Key job responsibilities - Design, build, and optimize logical data models and data pipelines for complex datasets - Own ongoing data quality and create self-service access to datasets for business intelligence, AI based tools and Model Context Protocols (MCP) - Improve metadata for better AI results - Collaborate with Program Managers, Technical Program Managers and other Data Engineers to design stable, performant data solutions - Write secure, stable, testable, and maintainable code with minimal defects - Apply appropriate data design approaches and make judicious trade-offs without over-engineering - Optimize resource usage including system hardware, data storage, query optimization, and AWS infrastructure - Participate actively in code reviews, design discussions, and team planning - Resolve root causes o